Nobuko Maruyama
Impact in
-
- Diabetes Treatment and Management
- Diabetes Management and Research
- Surgery top 10%
- Pancreatic function and diabetes
- Lipoproteins and Cardiovascular Health
Papers in
- Surgery 13
- Pancreatic function and diabetes 12
- Lipoproteins and Cardiovascular Health 1
-
- Diabetes Treatment and Management 12
- Diabetes Management and Research 10
- Diabetes, Cardiovascular Risks, and Lipoproteins 1
- Co-authors
- Nobuya Inagaki (12 shared papers)Hiroaki Iijima (10 shared papers)Kazuoki Kondo (6 shared papers)Maki Goda (4 shared papers)Yutaka Susuta (1 shared paper)Toru Yoshinari (1 shared paper)Yutaka Kawaguchi (3 shared papers)Shin‐ichi Harashima (3 shared papers)
- Journals
- Diabetes Obesity and Metabolism (7 papers)Advances in Therapy (3 papers)British Journal of Clinical Pharmacology (1 paper)Expert Opinion on Pharmacotherapy (1 paper)Cardiovascular Diabetology (1 paper)
- Partner nations
- JapanUnited StatesBelgium
In The Last Decade
Nobuko Maruyama
14 papers receiving 605 citations
Peers
Comparison fields: 5 of 49
- Endocrinology, Diabetes and Metabolism 566
- Surgery 321
- Nephrology 36
- Pharmacology 77
- Molecular Biology 254
Countries citing papers authored by Nobuko Maruyama
This map shows the geographic impact of Nobuko Maruyama's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nobuko Maruyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nobuko Maruyama more than expected).
Fields of papers citing papers by Nobuko Maruyama
This network shows the impact of papers produced by Nobuko Maruyama. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nobuko Maruyama. The network helps show where Nobuko Maruyama may publish in the future.
Co-authors
The 25 scholars most cited alongside Nobuko Maruyama, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 120 | |
| 2 | 2016 | 113 | |
| 3 | 2016 | 60 | |
| 4 | 2018 | 58 | |
| 5 | 2015 | 52 | |
| 6 | 2017 | 49 | |
| 7 | 2014 | 43 | |
| 8 | 2017 | 29 | |
| 9 | 2015 | 24 | |
| 10 | 2015 | 22 | |
| 11 | 2018 | 22 | |
| 12 | 2017 | 13 | |
| 13 | 2017 | 11 | |
| 14 | 1998 | 2 |
About Nobuko Maruyama
Nobuko Maruyama is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Organic Chemistry, Molecular Biology and Pharmacy, having authored 14 papers that have together received 618 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (12 papers), Diabetes Treatment and Management (12 papers), Diabetes Management and Research (10 papers), Oral and gingival health research (1 paper), Metabolism, Diabetes, and Cancer (1 paper), Lipoproteins and Cardiovascular Health (1 paper), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper) and Analytical Chemistry and Sensors (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (566 citations), Surgery (321 citations), Nephrology (36 citations), Pharmacology (77 citations) and Molecular Biology (254 citations). Nobuko Maruyama has collaborated with scholars based in Japan, United States and Belgium. Frequent co-authors include Nobuya Inagaki, Hiroaki Iijima, Kazuoki Kondo, Maki Goda, Yutaka Susuta, Toru Yoshinari, Yutaka Kawaguchi, Shin‐ichi Harashima, Kohei Kaku and Yumi Watanabe. Their work appears in journals such as Diabetes Obesity and Metabolism, Advances in Therapy, British Journal of Clinical Pharmacology, Expert Opinion on Pharmacotherapy and Cardiovascular Diabetology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.